LandOfferBackend Engineer, Applied Agents – AI Platform for Life Sciences
Job details
- Work mode
- Remote
- Employment
- Full-time
- Level
- Entry level
- Experience
- 2+ years
- Posted
- Nov 11, 2026
- Last confirmed open
- Nov 11, 2026
- Job function
- Software/Internet/AI › Backend Engineering › Backend Engineer
About this role
Los Altos, CA (San Francisco Bay Area) | On-site | Full-time
MaxIT Consulting is looking for a Backend Engineer, Applied Agents to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs, already used by leading biopharma companies.
The Opportunity
-------------------
You will design, build and operate the agent layer and the backend systems that power it: agents that carry out multi-step tasks inside real workflows, call tools reliably, run code in sandboxed environments, keep context and deliver verifiable results.
Key Responsibilities
------------------------
- Build the agent runtime and harness, tool-calling infrastructure, sandboxed code execution and agent memory.
- Own reliability and observability of multi-step agent tasks.
- Design and build backend services and APIs on Python, FastAPI and Postgres.
- Design and operate vector databases, semantic search and RAG systems, tuning quality and latency.
- Build large-scale ingestion, cleaning and indexing pipelines for scientific and regulatory documents.
- Ground AI outputs in source data with traceable, verifiable citations.
- Work directly with founders, domain experts and early customers, owning outcomes.
Required Qualifications
---------------------------
- 2+ years shipping and operating production backend systems end to end.
- Strong fundamentals in API design, data modeling, databases and system reliability.
- Hands-on production experience with LLM systems: RAG, vector databases and agents.
- Has built, or deeply traced, an agent runtime or harness: tool calling, sandboxing, memory.
- Ships fast on incomplete specs and uses AI coding tools (Claude Code, Cursor) daily.
Nice to Have
----------------
- Built an in-house agentic harness or internal tools to boost a team's agentic development.
- LangGraph or agent frameworks in production; AWS, Terraform and Kubernetes.
- Enterprise SaaS, healthcare or life sciences products; seed or early-stage startup experience.
Work Arrangement
--------------------
On-site role in Los Altos, CA (San Francisco Bay Area); fully remote is not possible. Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States.
HOW TO APPLY
----------------
Apply through this same channel with your updated resume and your expected gross annual base salary in USD.